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<?xml version="1.0" standalone="yes"?>
<Paper uid="P96-1048">
  <Title>Using textual clues to improve metaphor processing</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper, we propose a textual clue approach to help metaphor detection, in order to improve the semantic processing of this figure. The previous works in the domain studied the semantic regularities only, overlooking an obvious set of regularities. A corpus-based analysis shows the existence of surface regularities related to metaphors.</Paragraph>
    <Paragraph position="1"> These clues can be characterized by syntactic structures and lexical markers. We present an object oriented model for representing the textual clues that were found.</Paragraph>
    <Paragraph position="2"> This representation is designed to help the choice of a semantic processing, in terms of possible non-literal meanings. A prototype implementing this model is currently under development, within an incremental approach allowing step-by-step evaluations. 1</Paragraph>
  </Section>
class="xml-element"></Paper>
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